This is just amazing. Having spent the past week writing scripts (more like attempted to) in prep for linear algebra, this was extremely helpful. Of course there are things in linear algebra you dont cover here, but all of the vector stuff really helped me! Thank you, from a 2nd semester physics student in denmark!
Can't understand why this doesn't get more views, this is an absolute wonderful content and it's being very helpful for me in exams preparations. Please do more of this stuff
I would recommend "Learning Scientific Programming with Python" by Christian Hill. It is the Best Python Mathematics and Data Science book out there. The TH-camr Python Programmer recommended it to me in the beginning.
Congrats and thanks for the great content. I became a fan of the channel, and I will continue watching your videos (and I am so excited about this). One question: How SymPy compares to SageMath? I had a look at a curriculum of a program that one friend of mine wants to attend, and they use SageMath. I thought "why not SymPy?" (maybe they are familiar with SageMath). So how would you compare them? Is it better to just concentrate on SymPy for that job?
Hello..I am a PhD student in physics from Iraq..I hope you can help me find codes in the Python program to study the Fe(II)particle (ising model 2D)to determine the spin crossover of the electrons and find the energy..with many thanks to you.
Hi, I appreciate your channel.Thanks for sharings. I'm wondering why sympy can't solve this simple integral: Integral of 1/sqrt(ax**2 + bx + c) dx where a, b, c are constants. sympy cannot solve integral of 1/sqrt(x**2+x+1) dx either !!! Am I missing something? thank you.
The example in line number 135 where you said sympy does not do symbolic integration and needs to be done numerically seems to be not true. In the modified example, sympy was actually able to carry out the integral and the solution is -12 * pi**2! Please check. I compared the numerical integral as well and indeed the analytical solution is right.
import sympy as sp f=x**2+y**2+z**2 C=CoordSys3D('') gradient(f) @Mr.P Solver above is not working, I am getting an error --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in ----> 1 C.gradient(x**2+y**2+z**2) AttributeError: 'CoordSys3D' object has no attribute 'gradient'
You have to specify the import of CoordSys3D from the vector part of sympy. Try adding the line, under "import sympy as sp", with "from sympy.vector import *". This should import all of the sympy.vector part of the package. This is the code I wrote and it works fine: from sympy.vector import * C = CoordSys3D("") f = x**2 + y**2 + z**2 gradient(f)
This is just amazing. Having spent the past week writing scripts (more like attempted to) in prep for linear algebra, this was extremely helpful. Of course there are things in linear algebra you dont cover here, but all of the vector stuff really helped me!
Thank you, from a 2nd semester physics student in denmark!
Just came here to say Ur content quality is very solid, and keep it up👊
Quality content. Not many youtubers cover these topics. Keep going and see you at 100k subscribers.
Can't understand why this doesn't get more views, this is an absolute wonderful content and it's being very helpful for me in exams preparations. Please do more of this stuff
Because most people are playing games..😅😢
Insane work! Just finished second year calculus here.
This content is great. I am very mad, that I didn't have that during my studies. Excellent job mate.
Never tapped on a video so fast! Nice to see another video!
This was amazing, thank you for existing on YT!
This lecture will eventually become classic of current decade and best of your..lecture....
Super content. One of a kind channel. Helped me for my big project immensly. Thanks a million.
Great stuff, I find this really helpful! Keep it up 😊
Big wow. This is incredibly useful and detailed. I wish I had this during my college days!
As always amazing and valuable content!!!
Thank you so much!!!
I would recommend "Learning Scientific Programming with Python" by Christian Hill. It is the Best Python Mathematics and Data Science book out there. The TH-camr Python Programmer recommended it to me in the beginning.
Thanks for the recommendation!
Thanks for the book...It is very helpful to me....
My friend, we need more! :3
As always, great video, great content!
Keep it coming :)
Commenting for engagement
Mr P Solver. You my friend are a hero
Congrats and thanks for the great content. I became a fan of the channel, and I will continue watching your videos (and I am so excited about this). One question: How SymPy compares to SageMath? I had a look at a curriculum of a program that one friend of mine wants to attend, and they use SageMath. I thought "why not SymPy?" (maybe they are familiar with SageMath). So how would you compare them? Is it better to just concentrate on SymPy for that job?
You are my favourite person
Hi Luke, huge fan here from Italy! Would you do a machine learning course in the future?
Learn a lot from this video...
Hey , I wanted to know your opinion about sagemath. It will great if you create some tutorials on it(things that runs on matlab or whatever you wish)
I came back to the video today, to ask the same question.
Hello..I am a PhD student in physics from Iraq..I hope you can help me find codes in the Python program to study the Fe(II)particle (ising model 2D)to determine the spin crossover of the electrons and find the energy..with many thanks to you.
In Lagrange multiplier sir, how about if you have two constraints. How do you code it?
i love your corono haircut mate
It looked MUCH worse when I tried to cut it with scissors first. Buzz it is!
But can you do it in Senpy?
I've never even considered until now. Genius! 😂
Great stuff here, thanks! Does sympy offer easy 3D visualizations?
Hi, I appreciate your channel.Thanks for sharings. I'm wondering why sympy can't solve this simple integral: Integral of 1/sqrt(ax**2 + bx + c) dx where a, b, c are constants. sympy cannot solve integral of 1/sqrt(x**2+x+1) dx either !!! Am I missing something? thank you.
The example in line number 135 where you said sympy does not do symbolic integration and needs to be done numerically seems to be not true. In the modified example, sympy was actually able to carry out the integral and the solution is -12 * pi**2! Please check. I compared the numerical integral as well and indeed the analytical solution is right.
Is this clc 2 or clc 3?
bro you had a mistake in line 124, in 34:23 you forgot to type "2*" before smp.sin(t), you just input the code without it.
Dude plz do Julia and Haskell next. Or at least Julia!
26:30 Of Course!🎉❤😅
In multiple integration your second example of integral problems can be solved symbolically in Mathematica. I wonder why python can't solve it.
bro ur discord invite expired I guess. Can u reshare?
I changed the link, should work now!
2nd year engineer here. My exam is in 3 days...
If only Ive found this video earlier.
If you did the graphics this video would be perfect.
Python became my favourite calculator
👍👍👍👍
12:53 is where i stopped
this guy talks like he eats math on breakfsdt lunch and dinner
import sympy as sp
f=x**2+y**2+z**2
C=CoordSys3D('')
gradient(f)
@Mr.P Solver above is not working, I am getting an error
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
----> 1 C.gradient(x**2+y**2+z**2)
AttributeError: 'CoordSys3D' object has no attribute 'gradient'
You have to specify the import of CoordSys3D from the vector part of sympy. Try adding the line, under "import sympy as sp", with "from sympy.vector import *". This should import all of the sympy.vector part of the package. This is the code I wrote and it works fine:
from sympy.vector import *
C = CoordSys3D("")
f = x**2 + y**2 + z**2
gradient(f)